发现 数据与 AI 相关 Skills，比较来源仓库和用途，查看适合你工作流的技能说明。
WHEN: Ambiguous prompts, vague requirements, missing context, unclear instructions WHAT: Ambiguity detection + AskUserQuestion clarification + Interactive option selection WHEN NOT: Clear detailed instructions...
WHEN: Kotlin Multiplatform (KMP) project review, expect/actual patterns, shared module structure, iOS interop WHAT: Module structure analysis + expect/actual validation + platform separation + iOS/Android inter...
WHEN: SQL query review, query optimization, index usage, N+1 detection, performance analysis WHAT: Query plan analysis + Index recommendations + N+1 detection + Join optimization + Performance tuning WHEN NOT:...
WHEN: Java code review, Java idioms, exception handling, collections, streams, Java 17+ features WHAT: Exception patterns + resource management + null safety + stream usage + modern Java features WHEN NOT: Spri...
WHEN: Database migration review, backwards compatibility, rollback safety, data integrity WHAT: Migration safety + Rollback validation + Downtime analysis + Data preservation + Lock prevention WHEN NOT: Query o...
WHEN: TypeScript code review, type safety audit, tsconfig analysis, TS migration review WHAT: Type safety checks + any usage audit + generic patterns + strict mode + compiler options analysis WHEN NOT: React sp...
WHEN: Infrastructure security audit, secrets management, network policies, compliance checks WHAT: Secrets scanning + Network policies + IAM/RBAC audit + Compliance validation + Security hardening WHEN NOT: App...
WHEN: Spring Boot code review, DI patterns, @Transactional, REST API design, security configuration WHAT: Dependency injection + Transaction management + API design + Security config + JPA patterns WHEN NOT: Ko...
WHEN: Terraform code review, module structure, state management, security policies WHAT: Module organization + State backend + Security policies + Variable validation + Best practices WHEN NOT: Kubernetes → k8s...
WHEN: Database schema review, table design, normalization, constraints, index planning WHAT: Normalization analysis + Constraint validation + Index strategy + Data types + Relationship design WHEN NOT: Query op...
WHEN: Django project review, ORM queries, views/templates, admin customization WHAT: ORM optimization + View patterns + Template security + Admin config + Migration safety WHEN NOT: FastAPI → fastapi-reviewer,...
WHEN: Context setup, token optimization, MCP/agent configuration requests WHAT: Project analysis + Preset recommendation + MCP server selection + Agent activation + Config generation WHEN NOT: Status check only...
Signal processing, filtering/denoising, and math-driven feature engineering.
Expert-level options trading framework for multi-leg strategy design, quantitative modeling, and programmatic execution using Alpaca Markets APIs. Covers straddles, butterflies, spreads, iron condors, and calen...
Advanced optimization for trading: OCO, multi-objective, DRO, MIP, Bayesian opt, plus convex/Markowitz/BL references.
. Use when . Requires .
Analyzes long straddle volatility plays with ATM call and put at same strike. Requires numpy>=1.24.0, pandas>=2.0.0, matplotlib>=3.7.0, scipy>=1.10.0. Use when expecting large price movement in either direction...
Analyzes iron butterfly credit spreads with ATM short straddle and OTM long strangle protection. Requires numpy>=1.24.0, pandas>=2.0.0, matplotlib>=3.7.0, scipy>=1.10.0. Use when expecting stock to pin at speci...
Probability, moments/tails, Bayes, and statistical learning foundations for systematic trading.
Assess credit risk and default probability for bonds using credit spreads, rating transitions, and recovery analysis. Requires numpy>=1.24.0, pandas>=2.0.0, scipy>=1.10.0. Use when evaluating corporate bonds, a...
Analyzes and implements married-put options strategies for portfolio protection. Calculates breakeven points, profit/loss scenarios, and compares strike prices (ITM, ATM, OTM) across multiple expiration cycles....
Implement covered call options strategy for income generation on long stock positions. Use when seeking to enhance returns through option premium collection while maintaining stock ownership. Covers structure,...
Monte Carlo, SDE simulation, Brownian/jump processes, discretization schemes.
Time series modeling, stationarity, ARIMA/GARCH, SDEs, and regime detection for trading.
默认按已收录数据中的 GitHub 仓库 Stars 排序。Stars 属于来源仓库，同一仓库的多个技能可能共享相同数值；它反映仓库关注度，不代表单个技能的安装量或质量评分。